ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. 紀要類
  2. 情報研究
  3. 第38号

Memorization and Reasoning of Semantic Network Using Paired-Associate Mapping of Patterns

https://bunkyo.repo.nii.ac.jp/records/3090
https://bunkyo.repo.nii.ac.jp/records/3090
d29e69ea-4713-4d30-a43d-7198f48cdfa7
名前 / ファイル ライセンス アクション
BKS0000114.pdf BKS0000114.pdf (3.3 MB)
Item type 紀要論文 / Departmental Bulletin Paper(1)
公開日 2010-01-28
タイトル
タイトル Memorization and Reasoning of Semantic Network Using Paired-Associate Mapping of Patterns
言語
言語 eng
キーワード
主題 semantic network, Reasoning processing by the patterns, paired-associate mapping, pattern model, similarity-measure function
資源タイプ
資源タイプ departmental bulletin paper
著者 Suzuki, Shoichi

× Suzuki, Shoichi

Suzuki, Shoichi

Search repository
所属機関
値 文教大学情報学部
内容記述
内容記述タイプ Abstract
内容記述 In knowledge engineering, there is a semantic network as one method expressing knowledge. Inheritance of properties is possible for a semantic network, and it is a directed graph which consists of nodes and links. Memorizing a semantic network and reasoning there are usually performed by manipulating symbols. A method of memorizing a semantic network and reasoning can be performed by pattern processing is presented here. In other words, it is shown that memory action and reasoning of a semantic network can be performed using model-construction operator T , similarity-measure function SM , and a paired-associate mapping A suggested by S,Suzuki. The five advantages are as follows :(1) The concept and the property memorized by adoption of pattern expression have been easily expressed by the linear-predictive-coefficient vector of the pronounced sound. (2) The concept memorized and the property became strong to noise by adoption of a pattern model. (3) In two phases of memorizing and reasoning made by the association, it became strong to noise by adoption of the paired-associate mapping. (4) In the reasoning phase by association, it became strong to noise by adoption of the similarity-measure function. (5) It can simply perform adding to a semantic network new triple that consists of concept 1, property, and concept 2 by easy correction of the paired-associate mapping and the similarity-measure function.
書誌情報 情報研究
en : Information and Communication Studies

巻 38, p. 59-76, 発行日 2008-01-01
出版者
出版者 文教大学
ISSN
収録物識別子タイプ ISSN
収録物識別子 03893367
著者版フラグ
出版タイプ VoR
本文言語
値 英語
ID
値 BKS0000114
戻る
0
views
See details
Views

Versions

Ver.1 2023-05-15 16:13:41.818336
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR 2.0
  • OAI-PMH JPCOAR 1.0
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3